scholarly journals Monaural Speech Separation Based on Computational Auditory Scene Analysis and Objective Quality Assessment of Speech

Author(s):  
Peng Li ◽  
Yong Guan ◽  
Bo Xu ◽  
Wenju Liu
2014 ◽  
Vol 614 ◽  
pp. 363-366
Author(s):  
Yi Jiang ◽  
Yuan Yuan Zu ◽  
Ying Ze Wang

A K-means based unsupervised approach to close-talk speech enhancement is proposed in this paper. With the frame work of computational auditory scene analysis (CASA), the dual-microphone energy difference (DMED) is used as the cue to classify the noise domain time-frequency (T-F) units and target speech domain units. A ratio mask is used to separate the target speech and noise. Experiment results show the robust performance of the proposed algorithm than the Wiener filtering algorithm.


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